{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,24]],"date-time":"2024-08-24T00:30:42Z","timestamp":1724459442586},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,22]]},"abstract":"We developed and validated a statistical prediction model using 2.5 electronic health records from 24 German emergency departments (EDs) to estimate treatment timeliness at triage. The model\u2019s moderate fit and reliance on interoperable, routine data suggest its potential for implementation in ED crowding management.<\/jats:p>","DOI":"10.3233\/shti240741","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:32:59Z","timestamp":1724409179000},"source":"Crossref","is-referenced-by-count":0,"title":["Beating the Clock: A Prediction Model for Timely Care in Emergency Departments"],"prefix":"10.3233","author":[{"given":"Jonas","family":"Bienzeisler","sequence":"first","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Wiliam","family":"Hoy","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Alexander","family":"Kombeiz","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Mohamed","family":"Alhaskir","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Rainer","family":"R\u00f6hrig","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Raphael","family":"Majeed","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Jenny","family":"Unterkofler","sequence":"additional","affiliation":[{"name":"Department for Acute and Emergency Medicine, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]},{"given":"Behrus","family":"Puladi","sequence":"additional","affiliation":[{"name":"Institute of Medical Informatics, Medical Faculty of RWTH Aachen University, Aachen, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:33:00Z","timestamp":1724409180000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240741","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}